陆军特色医学中心(第三军医大学大坪医院)泌尿外科,重庆
JIANG Jun, E-mail: Jun Jiang_64@163.com
Received:04 June 2025,
Revised:13 July 2025,
Published:30 August 2025
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敖杨坤,罗伟铭,冉强,等.非肌层浸润性膀胱癌二次电切术后疗效评估及预后影响因素分析[J].陆军军医大学学报,2025,47(16):1923-1930.
AO Yangkun,LUO Weiming,RAN Qiang,et al.Efficacy and prognostic factors of second transurethral resection for non-muscle-invasive bladder cancer[J].J Army Med Univ,2025,47(16):1923-1930.
敖杨坤,罗伟铭,冉强,等.非肌层浸润性膀胱癌二次电切术后疗效评估及预后影响因素分析[J].陆军军医大学学报,2025,47(16):1923-1930. DOI:10.16016/j.2097-0927.202506008.
AO Yangkun,LUO Weiming,RAN Qiang,et al.Efficacy and prognostic factors of second transurethral resection for non-muscle-invasive bladder cancer[J].J Army Med Univ,2025,47(16):1923-1930. DOI:10.16016/j.2097-0927.202506008.
目的
2
探究非肌层浸润性膀胱癌(non-muscle-invasive bladder cancer,NMIBC)患者首次电切术后病灶残留的危险因素与二次电切术后肿瘤复发的危险因素,为临床诊疗提供参考。
方法
2
采用病例-对照研究设计方案,纳入2017年1月-2025年1月于陆军特色医学中心泌尿外科接受经尿道膀胱肿瘤切除术(transurethral resection of bladder tumors,TURBT)并于2~8周内再次行TURBT(二次电切)的120名NMIBC患者,根据首次TURBT术后是否存在病灶残留将患者分为病灶残留组34例、病灶未残留组86例,通过
χ
2
检验和多因素Logistic回归分析可能影响TURBT后病灶残留的危险因素;通过单因素和多因素Cox回归模型分析可能影响二次电切术后肿瘤复发的危险因素。
结果
2
首次TURBT术后患者病灶残留率为28.33%,卡方检验分析发现肿瘤分期T1期(
χ
2
=5.756,
P
=0.016)和肿瘤宽基底(χ
2
=4.331,
P
=0.037)是首次TURBT后病灶残留的影响因素,多因素Logistic回归结果显示肿瘤分期T1期(
OR
=3.047,95%
CI
:1.128~8.226,
P
=0.028)是首次TURBT后病灶残留的独立危险因素;二次电切术后患者肿瘤复发率为17.5%,多因素Cox回归结果显示肿瘤分期T1期[
OR
=4.258,95%
CI
:(1.248~14.532),
P
=0.021]、二次电切术后化疗药物灌注[
OR
=3.539,95%
CI
:(1.284~9.752),
P
=0.015]、泌尿系统肿瘤史[
OR
=3.002,95%
CI
:(1.145~7.873),
P
=0.025]、高PLR比值比[
OR
=2.798,95%
CI
:(1.115~7.023),
P
=0.028]是肿瘤复发的独立危险因素。
结论
2
首次TURBT术后肿瘤分期T1期、肿瘤宽基底是病灶残留的危险因素,二次电切术后肿瘤分期T1期、二次电切术后化疗药物灌注、泌尿系统肿瘤史和高PLR比值比是肿瘤复发的危险因素。综合分析以上4项临床指标,可有效评估NMIBC患者在接受二次电切术后的肿瘤复发风险,及时采取早期医疗干预措施以优化患者预后。
Objective To investigate risk factors for residual lesions after initial transurethral resection of bladder tumors (TURBT) and risk factors for tumor recurrence after second TURBT in patients with non-muscle-invasive bladder cancer (NMIBC) in order to provide reference for clinical management. Methods A case-control study design was adopted to include 120 NMIBC patients who underwent initial TURBT and then second surgery within 2~8 weeks in our department from January 2017 to January 2025. Based on the presence of residual lesions after the initial TURBT or not
the patients were divided into a residual lesion group (
n
=34) and a non-residual lesion group (
n
=86).
Chi
-square test and multivariate logistic regression analysis were performed to identify potential risk factors for residual lesions following the initial TURBT. Univariate and multivariate Cox regression models were used to analyze potential risk factors for tumor recurrence after the second TURBT. Results The residual lesion rate after initial TURBT was 28.33%.
Chi
-square test analysis revealed that tumor stage T1 (
Chi
-square=5.756
P
=0.016) and broad tumor base (
Chi
-square=4.331
P
=0.037) were factors influencing residual lesions after initial TURBT. Multivariate logistic regression analysis identified tumor stage T1 (
OR
=3.047
95%
CI
: 1.128~8.226
P
=0.028) as an independent risk factor for residual lesions after initial TURBT. The tumor recurrence rate after second TURBT was 17.5%. Multivariate Cox regression analysis identified tumor stage T1 (
OR
=4.258
95%
CI
: 1.248~14.5
32
P
=0.021)
intravesical chemotherapy instillation after second TURBT (
OR
=3.539
95%
CI
: 1.284~9.752
P
=0.015)
history of urinary system tumors (
OR
=3.002
95%
CI
: 1.145~7.873
P
=0.025) and high platelet-to-lymphocyte (PLR) ratio (
OR
=2.798
95%
CI
: 1.115~7.023
P
=0.028) as independent risk factors for tumor recurrence after second TURBT. Conclusion Tumor stage T1 and broad tumor base are risk factors for residual lesions after initial TURBT
while tumor stage T1
intravesical chemotherapy instillation after second TURBT
history of urinary system tumors and high PLR ratio are risk factors for tumor recurrence after second TURBT. Comprehensive analysis on above 4 indicators can effectively assess the risk of tumor recurrence in NMIBC patients following second TURBT
and timely early medical intervention is beneficial for improving patient outcomes.
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